Suffern, NY - Suffern, NY, USA
Explore the pool victory probability density for each fencer, with their actual victories highlighted in a box. Learn more.
| # | Name | Number of victories | ||||||
|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | ||
| 1 | TYLER Syd | - | - | - | 2% | 11% | 36% | 51% |
| 2 | ZHANG Tina | - | - | 1% | 7% | 27% | 45% | 21% |
| 3 | KOWALSKY Rachel A. | - | - | 1% | 6% | 23% | 41% | 28% |
| 3 | XU Grace (XinYi) | - | - | 1% | 6% | 23% | 42% | 29% |
| 5 | KIM Diane E. | - | - | 1% | 6% | 23% | 41% | 29% |
| 6 | KUZNETSOV Victoria | - | - | - | 4% | 21% | 44% | 30% |
| 7 | KULKARNI Diya | - | - | 1% | 8% | 28% | 43% | 20% |
| 8 | REID Anousheh | - | 1% | 5% | 19% | 35% | 31% | 10% |
| 9 | CHIN Isabella | - | - | - | 4% | 21% | 43% | 31% |
| 10 | MAO Amy | - | 1% | 7% | 23% | 36% | 26% | 6% |
| 11 | HODGES Grace A. | - | 2% | 12% | 32% | 36% | 15% | 2% |
| 12 | DOUGLAS Julia F. | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 13 | ALVIDREZ Francesca A. | - | 2% | 12% | 29% | 34% | 18% | 4% |
| 14 | MING Cynthia | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 15 | PARTE Isabella B. | - | 3% | 12% | 29% | 34% | 18% | 3% |
| 16 | LI Alisha | 1% | 15% | 34% | 32% | 15% | 3% | - |
| 17 | NI Emma | - | - | 3% | 13% | 32% | 36% | 16% |
| 18 | DROVETSKY Alexandra M. | - | - | - | 4% | 20% | 44% | 32% |
| 19 | BLAKE Caira | - | 3% | 18% | 38% | 30% | 9% | 1% |
| 20 | CORDERO Allison | 5% | 21% | 34% | 27% | 11% | 2% | - |
| 21 | EBRAHIM Ameera H. | - | 5% | 20% | 34% | 28% | 11% | 1% |
| 22 | BELSLEY Devon K. | - | 1% | 8% | 23% | 35% | 26% | 7% |
| 23 | BIGGS Amelia F. | - | 5% | 22% | 38% | 26% | 7% | 1% |
| 24 | LEE Olive | - | 1% | 5% | 20% | 37% | 30% | 8% |
| 25 | DE JAGER Celine | - | 2% | 14% | 36% | 33% | 13% | 2% |
| 26 | PAN Michelle | 1% | 8% | 23% | 33% | 25% | 9% | 1% |
| 27 | LIVERANT Jordan S. | - | - | 3% | 15% | 34% | 35% | 13% |
| 28 | ZAKHAROV Anne (Anya) E. | 1% | 9% | 27% | 35% | 22% | 6% | 1% |
| 29 | LONG Cindy | - | - | 4% | 19% | 38% | 31% | 8% |
| 30 | SMOTRITSKY Mia | 2% | 15% | 37% | 32% | 12% | 2% | - |
| 31 | GLASSNER Sophia Rose S. | - | 6% | 31% | 40% | 19% | 4% | - |
| 32 | LI AnnieSiliang | 1% | 11% | 29% | 34% | 19% | 5% | - |
| 33 | KIZILBASH Zara | - | 4% | 19% | 34% | 29% | 12% | 2% |
| 34 | SMUK Daria A. | - | 1% | 8% | 25% | 37% | 24% | 5% |
| 35 | FAZZINI Angelina | 1% | 7% | 23% | 35% | 25% | 8% | 1% |
| 36 | HILL Phoebe | 4% | 18% | 33% | 29% | 13% | 3% | - |
| 37 | HOSANAGAR Inchara | 18% | 41% | 31% | 9% | 1% | - | - |
| 38 | HUH Anna | - | 2% | 16% | 36% | 33% | 11% | 1% |
| 39 | TOLBA Salma | - | - | 4% | 19% | 38% | 31% | 8% |
| 39 | SAAL Anna | - | 2% | 12% | 30% | 34% | 18% | 3% |
| 41 | KOKES Ava | - | 5% | 20% | 34% | 29% | 11% | 2% |
| 42 | CHANG Ella | 2% | 18% | 35% | 30% | 12% | 2% | - |
| 43 | MOK Chloe R. | 18% | 39% | 30% | 11% | 2% | - | - |
| 44 | NICOU Nicole | 8% | 26% | 34% | 23% | 8% | 1% | - |
| 45 | GOLDBERG Sophie C. | 1% | 10% | 29% | 35% | 20% | 5% | - |
| 46 | KIZILBASH Alizeh H. | 6% | 23% | 34% | 26% | 10% | 2% | - |
| 47 | APPLEBEE Andralyn | 16% | 37% | 32% | 12% | 2% | - | - |
| 48 | HICKS Grace | 17% | 39% | 31% | 11% | 2% | - | - |
| 49 | ZENG Katrina | 3% | 16% | 34% | 31% | 13% | 2% | - |
| 50 | PATEL Diya | 7% | 26% | 36% | 23% | 7% | 1% | - |
| 51 | HAND Grace | 24% | 41% | 26% | 8% | 1% | - | - |
| 52 | BANKULLA Misha R. | 17% | 41% | 32% | 9% | 1% | - | - |
| 53 | GUZZI Jordan | 8% | 29% | 36% | 20% | 6% | 1% | - |
| 54 | LONGSTREET Olivia | 73% | 23% | 3% | - | - | - | - |
| 55 | ABRAGAN Abigail | 12% | 49% | 30% | 7% | 1% | - | - |
| 56 | RAI Ananya | 16% | 42% | 31% | 10% | 1% | - | - |
| 57 | CHERNYSHOVA Victoria | 1% | 9% | 25% | 34% | 23% | 8% | 1% |
| 58 | BANNING Grace | 15% | 39% | 34% | 11% | 2% | - | - |
| 59 | GAO Judy | 1% | 8% | 24% | 34% | 24% | 8% | 1% |
| 60 | LEE Anna | 40% | 43% | 15% | 2% | - | - | - |
| 61 | XU Amy | 3% | 18% | 35% | 29% | 12% | 2% | - |
| 62 | RAMANATHAN Eesha | 66% | 28% | 5% | - | - | - | - |
| 63 | RATTRAY Katherine | 70% | 28% | 2% | - | - | - | - |
The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:
This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.